We’re delighted to announce Prof. Ricardo Silva, Professor of Statistical Machine Learning and Data Science at University College London, as a speaker for MLx Representation Learning & Generative AI at OxML 2026. Ricardo’s research focuses on probabilistic modeling, causal discovery, and representation learning, with influential work on graphical models and the theoretical foundations of modern generative methods. 🗓️ 15–18 July 2026 📍 University of Oxford Mathematical Institute & Online Registration is open: oxfordml.school/register #OxML #AI #ML #RepresentationLearning #StatisticalML #datascience UCL #ucl

Are you thinking of submitting a paper to @igarss 2025 in the intersection of Probabilistic Machine Learning and EO data? Well, consider submitting to the CSS #92 ! It will be a good opportunity for discussion on #probabilisticML #EO #statisticalML #BayesianNN #PhysicsAwareML

What is science in the age of Artificial intelligence? Does artificial intelligence truly understand physics? #AI #Physics #Science #machinelearning #statisticalML #statisticalphysics linkedin.com/posts/pinakilas…

📢 We are excited to announce the start of the MLx Fundamentals course, welcoming 600 participants from 87 countries this week! 🎉 🌎 Our esteemed lineup of speakers hails from some of the top universities and AI institutions worldwide. They will deliver a comprehensive training program comprising both theoretical & practical sessions in modern #ML, covering essential areas such as #GenerativeAI in vision & #NLP, Advanced practical topics in ML, #statisticalML, #DNN, #Optimisation, & more. Many thanks to Prof. @yalidux (area chair) for designing this unique course 🙌 ❗To learn more about our upcoming courses, including MLx Generative AI (Theory, Agents, Products) in London, UK (22-24 Aug 2024), visit oxfordml.school #MachineLearning #OxML #AI4GG #GenAI

📣 Calling AI researchers and enthusiasts worldwide! 🌎Join us this July at the University of Oxford’s Mathematical Institute & online, to celebrate the 5th anniversary of the Oxford Machine Learning Summer School. #OxML 2024 offers in-depth exploration of crucial #ML and #DL topics, including #StatisticalML, #probabilisticML, #ReinforcementLearning, #ComputerVision, #NLP, #GenerativeAI & .... Choose from courses in ML Fundamentals, Health & Bio, and Representation Learning & Generative AI.🎓💡📈🧬🤖 Network with industry/academic leaders, engage in social events, and explore career opportunities. Hosted by @GlobalGoalsAI, in collaboration with @CIFAR_News, & the @UniofOxford's Deep Medicine program. 📅 Apply by Feb 27 (applications reviewed on a first-come, first-served basis). Sponsored by @GoogleDeepMind @oiioxford, @oxmartinschool, @OxUniMaths, @mmbronstein @ProfData @tdietterich @ArthurGretton @OxManInst @VictoriaLinML @PascalMettes @ermgrant @AlisonNoble_OU @OxfordTVG @MihaelaVDS @xrysoflhs @cornell_tech @jun90cheng @monalinejad @rezakhorshidi @yalidux #deeplearning #MachineLearning, #AI #AI4GG #SDGs #Healthtech #Biotech #Bioinformatics

How to develop the Universal Knowledge and Intelligence Engine? #AIEngine #statisticalML #knowledgeSystems #MachineIntelligence linkedin.com/posts/pinakilas…

Exciting news! The ML x Finance track at #OxML2023 will feature Prof. Mihai Cucuringu from @UniofOxford, discussing #Networks, #StatisticalML & #QuantFinance 🙌 Join us to learn about the cutting-edge intersection of #Finance & #MachineLearning. #networkanalysis. ⌛️Last chance to apply: forms.gle/cWLfmd5QWemE6pas7 @OxfordStats @OxUniMaths @oxdeepmedicine @CIFAR_News @rezakhorshidi @karo_moilanen @turinginst

LOL #MachineLearning #AI #PrincipledAI #Statistics #StatisticalML